MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION

Unathi Klassie; Arnesh Telukdarie; Megashnee Munsamy; Viswanathan Radhakrishnan

doi:10.52202/060557-0115

MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION

Unathi Klassie
, Arnesh Telukdarie
, Megashnee Munsamy
, Viswanathan Radhakrishnan

Johannesburg Business School

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The South African energy landscape is highly dependent on fossil fuels, with significant supply constraints. Water treatment plants should plan alternate energy supply under these constrained conditions. Inline energy generation with micro turbines provides for a potential solution. In order to deploy this technology significant knowledge based decision tools are required. This study conducts an extensive review of literature for globally adopted hydropower electricity generation technologies. The desktop study provides information on micro turbine technology. A subsequent data centric model, specific to micro turbines decision making in hydroelectricity generation at wastewater treatment plants in South Africa is developed. A Non-dominated Sorting Genetic Algorithm II is configured in Microsoft Excel for the multi-layer optimisation calculations. The results discussed possible optimisation modifications for enhancing strategies to improve hydroelectricity generation at wastewater treatment plants in South Africa.

Original language	English
Title of host publication	Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future
Publisher	University of Pretoria
Pages	1467-1481
Number of pages	15
ISBN (Electronic)	9781775922131
DOIs	https://doi.org/10.52202/060557-0115
Publication status	Published - 2021
Event	30th International Conference of the International Association for Management of Technology: MOT for the World of the Future, IAMOT 2021 - Cairo, Virtual, Egypt Duration: 19 Sept 2021 → 23 Sept 2021

Publication series

Name	Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future

Conference

Conference	30th International Conference of the International Association for Management of Technology: MOT for the World of the Future, IAMOT 2021
Country/Territory	Egypt
City	Cairo, Virtual
Period	19/09/21 → 23/09/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation
SDG 7 Affordable and Clean Energy

Keywords

Micro-turbines
NSGA-II
Renewable energy
Wastewater treatment plants (WWTP)

ASJC Scopus subject areas

Management of Technology and Innovation

Access to Document

10.52202/060557-0115

Cite this

Klassie, U., Telukdarie, A., Munsamy, M., & Radhakrishnan, V. (2021). MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION. In Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future (pp. 1467-1481). (Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future). University of Pretoria. https://doi.org/10.52202/060557-0115

Klassie, Unathi ; Telukdarie, Arnesh ; Munsamy, Megashnee et al. / MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION. Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future. University of Pretoria, 2021. pp. 1467-1481 (Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future).

@inproceedings{9f4427b490ce460cba076d3ced1f9745,

title = "MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION",

abstract = "The South African energy landscape is highly dependent on fossil fuels, with significant supply constraints. Water treatment plants should plan alternate energy supply under these constrained conditions. Inline energy generation with micro turbines provides for a potential solution. In order to deploy this technology significant knowledge based decision tools are required. This study conducts an extensive review of literature for globally adopted hydropower electricity generation technologies. The desktop study provides information on micro turbine technology. A subsequent data centric model, specific to micro turbines decision making in hydroelectricity generation at wastewater treatment plants in South Africa is developed. A Non-dominated Sorting Genetic Algorithm II is configured in Microsoft Excel for the multi-layer optimisation calculations. The results discussed possible optimisation modifications for enhancing strategies to improve hydroelectricity generation at wastewater treatment plants in South Africa.",

keywords = "Micro-turbines, NSGA-II, Renewable energy, Wastewater treatment plants (WWTP)",

author = "Unathi Klassie and Arnesh Telukdarie and Megashnee Munsamy and Viswanathan Radhakrishnan",

note = "Publisher Copyright: Copyright {\textcopyright} 2021 by Naud{\'e} Scribante. Permission granted to IAMOT to publish and use.; 30th International Conference of the International Association for Management of Technology: MOT for the World of the Future, IAMOT 2021 ; Conference date: 19-09-2021 Through 23-09-2021",

year = "2021",

doi = "10.52202/060557-0115",

language = "English",

series = "Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future",

publisher = "University of Pretoria",

pages = "1467--1481",

booktitle = "Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future",

address = "South Africa",

}

Klassie, U, Telukdarie, A , Munsamy, M & Radhakrishnan, V 2021, MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION. in Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future. Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future, University of Pretoria, pp. 1467-1481, 30th International Conference of the International Association for Management of Technology: MOT for the World of the Future, IAMOT 2021, Cairo, Virtual, Egypt, 19/09/21. https://doi.org/10.52202/060557-0115

MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION. / Klassie, Unathi; Telukdarie, Arnesh ; Munsamy, Megashnee et al.
Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future. University of Pretoria, 2021. p. 1467-1481 (Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION

AU - Klassie, Unathi

AU - Telukdarie, Arnesh

AU - Munsamy, Megashnee

AU - Radhakrishnan, Viswanathan

PY - 2021

Y1 - 2021

N2 - The South African energy landscape is highly dependent on fossil fuels, with significant supply constraints. Water treatment plants should plan alternate energy supply under these constrained conditions. Inline energy generation with micro turbines provides for a potential solution. In order to deploy this technology significant knowledge based decision tools are required. This study conducts an extensive review of literature for globally adopted hydropower electricity generation technologies. The desktop study provides information on micro turbine technology. A subsequent data centric model, specific to micro turbines decision making in hydroelectricity generation at wastewater treatment plants in South Africa is developed. A Non-dominated Sorting Genetic Algorithm II is configured in Microsoft Excel for the multi-layer optimisation calculations. The results discussed possible optimisation modifications for enhancing strategies to improve hydroelectricity generation at wastewater treatment plants in South Africa.

AB - The South African energy landscape is highly dependent on fossil fuels, with significant supply constraints. Water treatment plants should plan alternate energy supply under these constrained conditions. Inline energy generation with micro turbines provides for a potential solution. In order to deploy this technology significant knowledge based decision tools are required. This study conducts an extensive review of literature for globally adopted hydropower electricity generation technologies. The desktop study provides information on micro turbine technology. A subsequent data centric model, specific to micro turbines decision making in hydroelectricity generation at wastewater treatment plants in South Africa is developed. A Non-dominated Sorting Genetic Algorithm II is configured in Microsoft Excel for the multi-layer optimisation calculations. The results discussed possible optimisation modifications for enhancing strategies to improve hydroelectricity generation at wastewater treatment plants in South Africa.

KW - Micro-turbines

KW - NSGA-II

KW - Renewable energy

KW - Wastewater treatment plants (WWTP)

UR - https://www.scopus.com/pages/publications/85124003975

U2 - 10.52202/060557-0115

DO - 10.52202/060557-0115

M3 - Conference contribution

AN - SCOPUS:85124003975

T3 - Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future

SP - 1467

EP - 1481

BT - Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future

PB - University of Pretoria

T2 - 30th International Conference of the International Association for Management of Technology: MOT for the World of the Future, IAMOT 2021

Y2 - 19 September 2021 through 23 September 2021

ER -

Klassie U, Telukdarie A , Munsamy M, Radhakrishnan V. MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION. In Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future. University of Pretoria. 2021. p. 1467-1481. (Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future). doi: 10.52202/060557-0115

MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this